Investigate machine learning algorithms to detect anomalies in computing infrastructures in real-time

The industry partner, Metafor is developing a new class of IT system management solution. As part of this project, Metafor is building a product feature that monitors computer and network activities and looks for signs of anomalies. This is an important problem as anomalies are usually associated with abnormal user or system behaviors that can potentially result in problems such as system breakdown.

Computer Algebra and High-Performance Computing Support for Model Predictive ControlComputer Algebra and High-Performance Computing Support for Model Predictive Control

In many industrial and engineering applications, process control plays a central role. Among the possible control strategies, model predictive control (MPC), also called receding horizon control (RHC), stands out for its excellent ability to handle constraints. While MPC has been successfully applied to many industrial applications, further developments are limited when it becomes necessary to solve many large on-line optimization problems. To overcome this situation, parametric optimization is often used such that most of the computation burden is pushed to an off-line phase.

Evaluation of the OISEAU Application

The project is a program evaluation of the mobile application OISEAU: Agents of Nature, designed by the non-profit organization Morning Star Enterprises. Morning Star has developed individual OISEAU applications for three Calgary Parks locations and the launch is the summer 2013.The application is designed to increase children’s exposure and connection with nature, as well as improve their content knowledge and physical activity.

Management of Context for Smartphone-based Marketing for Brick & Mortar Retailers

Smartphones are not only incredibly powerful computing devices, but also sophisticated sensor platforms. Leveraging sensed user context, such as location, to provide targeted advertising has been discussed as a potential application of ubiquitous sensing in the literature, and is beginning to appear in industrial applications.

Design of Radio Frequency Identification tags based upon Graphene interconnections

Long checkout lines at the grocery stores and wholesales are one of the biggest complaints about the shopping experience. Soon these lines could disappear when te ubiquitous universal product code barcode is replaced by smart labels, also called radio frequency identification (RFID) tags. RFID tags are intelligent barcodes that can talk to a networked system to track every product that you put in your shopping cart. In this project, Graphene, the wonder material of the century, will be integrated into RFID devices to increase its reliability and reduce its product cost.

Improving the Efficiency in Customer Interactions and Investment Selection

The purpose of this research is to develop a solution that uses Artificial Intelligence and Predictive Analytics to Improving the Efficiency in Customer Interactions and Investment Selection.

Integrated Terahertz Sensors Using Silicon Nanowires

Already the material of choice for electronics for decades, silicon has now emerged as the premier material in photonics and terahertz, offering cost-effective solutions for several applications. In this project, we plan to address the specific problem that TeTechS Inc is facing at this stage of its product development project, which is developing a silicon-based CMOS compatible platform for THz generation and integrate it with a sensor for bio-sensing applications.

The Binary Fluid Ejector- a novel thermal-driven heat pump for low-energy distillation

Currently, two common technologies that use thermal energy directly to produce cooling are being used in the industry – absorption chillers and steam ejectors. Both are traditional technologies that suffer from serious limitations. MRT is developing a novel Binary Fluid Ejector that can overcome the limitations of prior art to produce a heat pump that can economically harness renewable thermal energy, including waste heat, to do useful work such as air conditioning, process chilling, or distillation/desalination.

Experimental characterization of thermal shims for space applications

MDA Montreal possesses a niche expertise on a wide variety of high-performance satellite telecommunication antennas. These antennas are exposed to extremely harsh environments. Some panels require a rigid mechanical assembly (i.e., nut and bolt fastening) but must preserve their thermal isolation for the proper operation of the antennas and to limit heat exchange towards the spacecraft. Relatively thick thermal shims or washers are currently inserted into these assemblies to almost completely block the heat flow between the two structures.

Student Web Portal

The proposed research project proposes to study how to best provide a student learning portal for children of age 8 to 13 years old. Such system requires to carefully reviewing the literature both in terms of designing for children, and in terms of interpreting the results of usability studies with children. Designing an effective student learning portal will demand of the intern to take into consideration what is attractive for this age group and how to make those students willing to spend some time online for their study.